Asia Pacific Fraud Detection Transaction Monitoring Market
Taille du marché en milliards USD
TCAC :
% 
 Période de prévision |
2024 –2031 |
 Taille du marché (année de référence) |
USD 3.44 Billion |
 Taille du marché (année de prévision) |
USD 15.80 Billion |
 TCAC |
% |
| Principaux acteurs du marché |
>Segmentation du marché de la surveillance des transactions de détection de fraude en Asie-Pacifique , par offre (solution et services), fonction (KYC/intégration des clients, gestion des cas, filtrage des listes de surveillance, tableau de bord et rapports, et autres), déploiement (sur site et dans le cloud), taille de l'organisation (organisations de grande taille et petites et moyennes entreprises), application (détection de fraude aux paiements, détection du blanchiment d'argent , protection contre la prise de contrôle de compte, prévention du vol d'identité, et autres), vertical (banque, services financiers et assurances (BFSI), vente au détail , informatique et télécommunications, gouvernement et défense, soins de santé, fabrication, énergie et services publics , et autres) - Tendances et prévisions du secteur jusqu'en 2031.
Analyse du marché de la détection des fraudes et de la surveillance des transactions
Le marché de la surveillance des transactions de détection de fraude en Asie-Pacifique connaît une croissance robuste en raison de l'augmentation des transactions financières et des cybermenaces sophistiquées. Des technologies avancées telles que l'IA et l'apprentissage automatique sont intégrées pour améliorer la précision de la détection des fraudes et réduire les faux positifs. Les pressions réglementaires et le besoin de conformité favorisent l'adoption dans tous les secteurs. Les principaux acteurs du marché comprennent des entreprises spécialisées dans la cybersécurité et l'analyse de données. Le marché devrait continuer à se développer à mesure que les entreprises cherchent à se protéger contre l'évolution des tactiques de fraude.
Taille du marché de la détection des fraudes et de la surveillance des transactions
Français Le marché des transactions de détection de fraude en Asie-Pacifique devrait atteindre une valeur de 15,80 milliards USD d'ici 2031, contre 3,44 milliards USD en 2023, avec un TCAC de 21,1 % au cours de la période de prévision 2024 à 2031. En plus des informations sur le marché telles que la valeur du marché, le taux de croissance, les segments de marché, la couverture géographique, les acteurs du marché et le scénario du marché, le rapport de marché organisé par l'équipe de recherche sur le marché de Data Bridge comprend une analyse approfondie des experts, une analyse des importations/exportations, une analyse des prix, une analyse de la consommation de production et une analyse PESTLE.
Tendances du marché de la détection des fraudes et de la surveillance des transactions
« Intégration du Big Data »
L’intégration du Big Data dans la détection des fraudes permet aux entreprises d’analyser de vastes ensembles de données provenant de diverses sources, ce qui leur permet d’identifier des modèles suggérant des activités frauduleuses. En utilisant l’analyse du Big Data, les entreprises peuvent découvrir des informations cachées que les méthodes traditionnelles pourraient manquer. L’analyse prédictive améliore cette capacité en utilisant des données historiques pour anticiper les comportements frauduleux potentiels avant qu’ils ne se produisent. Cette tendance améliore non seulement les taux de détection, mais permet également aux entreprises de mettre en œuvre des mesures préventives. En fin de compte, l’exploitation du Big Data transforme la façon dont les entreprises abordent la prévention de la fraude, la rendant plus efficace et plus réactive.
Portée du rapport et segmentation du marché de la surveillance des transactions en matière de détection des fraudes
|
Rapport métrique |
Détection de fraude Surveillance des transactions Informations clés sur le marché |
|
Segments couverts |
|
|
Pays couverts |
Chine, Japon, Inde, Corée du Sud, Australie, Nouvelle-Zélande, Indonésie, Thaïlande, Malaisie, Singapour, Philippines, Taïwan, Vietnam et reste de l'Asie-Pacifique |
|
Principaux acteurs du marché |
Amazon Web Services, Inc. (États-Unis), LexisNexis (filiale de Reed Elsevier) (États-Unis), Mastercard (États-Unis), TATA Consultancy Services Limited (Inde), Fiserv, Inc. (États-Unis), SAS Institute Inc. (États-Unis), ACI Worldwide (États-Unis), Oracle (États-Unis), NICE (Israël), FICO (États-Unis), SymphonyAI (États-Unis), UBIQUITY (États-Unis), Verafin Solutions ULC (filiale de Nasdaq Inc.) (Canada), GB Group plc (« GBG ») (Royaume-Uni), Quantexa (Royaume-Uni), Sum and Substance Ltd (Royaume-Uni), Hawk (Allemagne), Featurespace Limited (Angleterre), INETCO Systems Ltd. (Canada), Seon Technologies Ltd. (Hongrie) et Feedzai (Portugal) entre autres |
|
Opportunités de marché |
|
|
Données à valeur ajoutée |
Outre les informations sur le marché telles que la valeur marchande, le taux de croissance, les segments de marché, la couverture géographique, les acteurs du marché et le scénario du marché, le rapport de marché organisé par l'équipe de recherche sur le marché de Data Bridge comprend une analyse approfondie des experts, une analyse des importations/exportations, une analyse des prix, une analyse de la consommation de production et une analyse PESTLE. |
Définition du marché de la détection des fraudes et de la surveillance des transactions
La détection des fraudes et la surveillance des transactions font référence aux systèmes et processus utilisés par les institutions financières et les entreprises pour identifier et prévenir les activités frauduleuses dans le cadre des transactions. Ces systèmes analysent en permanence les données des transactions pour détecter des modèles ou des comportements inhabituels pouvant indiquer une fraude, tels qu'un accès non autorisé, un blanchiment d'argent ou un vol d'identité. Le marché des solutions de détection des fraudes et de surveillance des transactions est stimulé par le volume croissant des transactions en ligne, la complexité des tactiques de fraude et les exigences réglementaires strictes visant à réduire les délits financiers. Les organisations déploient des technologies avancées telles que l'IA, l'apprentissage automatique et l'analyse en temps réel pour améliorer la précision et l'efficacité de l'identification des activités frauduleuses, garantir la conformité et protéger les actifs.
Fraud Detection Transaction Monitoring Market Dynamics
Drivers
- Rising need for Robust Detection Systems that can Adapt to New Threats
As financial fraud schemes continue to evolve and become more sophisticated, there is a rising need for robust fraud detection systems that can effectively adapt to new threats. Traditional fraud detection methods often struggle to keep pace with the rapid changes in fraud tactics, making it essential for financial institutions and businesses to implement advanced detection systems. These systems need to leverage cutting-edge technologies such as artificial intelligence and machine learning to analyze large volumes of transaction data in real time, identifying patterns and anomalies that may indicate fraudulent activity.
For Instances,
In February 2024, according blog published by the Bill & Melinda Gates Foundation, Tazama, a new open-source fraud detection software, was launched to help monitor financial transactions for fraud and money laundering. This software aims to support financial inclusion by providing a cost-effective solution for low- and middle-income countries, which often struggle with expensive commercial fraud protection systems. Tazama allows central banks and financial institutions to protect their customers better and ensure transaction integrity. The software's open-source nature enables global collaboration to improve its capabilities, addressing the rising need for robust detection systems that adapt to evolving threats.
- Increased Focus on Identity Verification and Authentication
Heightened emphasis on identity verification and authentication is transforming the landscape of fraud detection and transaction monitoring. By incorporating advanced technologies such as biometric authentication, multi-factor verification, and AI-driven identity analysis, financial institutions can more accurately verify user identities and detect fraudulent activities. This robust approach helps mitigate risks associated with unauthorized access and fraudulent transactions, enhancing the overall security and reliability of financial systems. As identity verification technologies evolve, they will play a crucial role in strengthening fraud detection mechanisms and ensuring the integrity of transaction monitoring processes.
For instance,
In November 2023, Westpac NZ adopted advanced biometrics software from Israel-based cybersecurity company BioCatch to enhance its fraud detection systems. The technology analyzed customers' online behavior, such as typing speed and touch screen pressure, to detect unusual activities and prevent fraud. Westpac began implementing BioCatch in September, with plans for full operation by the end of the month. The bank reported preventing tens of millions of dollars in fraud over the past year, highlighting its increased focus on identity verification and authentication as scams grow more sophisticated.
Opportunities
-
Utilizing AI and Machine Learning Algorithms to Enhance Accuracy
Leveraging AI and machine learning algorithms significantly improves the accuracy of fraud detection and transaction monitoring. These technologies enable systems to analyze vast amounts of data in real time, identifying complex patterns and anomalies that traditional methods might miss. By continuously learning from new data, AI algorithms adapt and refine their detection capabilities, reducing false positives and improving the precision of fraud alerts.
Moreover, AI and machine learning enhance the ability to recognize emerging fraud trends and sophisticated schemes. This dynamic adaptability ensures that monitoring systems stay ahead of evolving threats, providing more reliable and effective protection against financial crimes. As a result, financial institutions can achieve a higher level of security and operational efficiency, benefiting from advanced, automated solutions that scale with their needs.
For instance,
In June 2023, Oscilar launched its AI-powered ACH Fraud Detection solution, designed to enhance the accuracy of fraud prevention in the rapidly expanding ACH Network. The solution utilizes advanced machine learning algorithms and generative AI to identify and prevent fraudulent transactions with high precision. This is particularly important as ACH credit fraud increased by 6% from 2021 to 2023, highlighting the need for more effective fraud detection. Oscilar’s technology addresses the limitations of traditional methods, which often struggle to keep pace with evolving fraud tactics, offering a more robust and timely defense against sophisticated fraudulent activities.
-
Collaborating with Fintech Companies and Technology Providers
Collaborating with fintech companies and technology providers allows financial institutions to leverage advanced technologies and innovative solutions for enhanced fraud detection. These partnerships enable the integration of cutting-edge tools and expertise, facilitating the development of more sophisticated fraud detection systems. By working together, banks and fintech firms can harness the latest advancements in AI, machine learning, and data analytics to improve accuracy, reduce false positives, and better protect against fraudulent activities.
For instance,
In December 2023, Treasury Prime partnered with Effectiv to enhance fraud detection for banks and fintechs. The collaboration allows Treasury Prime’s network to use Effectiv's advanced Transaction Monitoring solution, which employs AI to identify and mitigate fraudulent transactions in real time. This partnership helps financial institutions reduce financial losses and reputational damage by integrating sophisticated fraud prevention tools. The move underscores the importance of collaborating with fintech companies and technology providers to strengthen fraud detection and risk management in a rapidly evolving financial landscape.
Restraint/Challenge
- High Volume of Transactions Increases Detection Complexity
Managing a high volume of transactions presents significant challenges in fraud detection. As the number of transactions rises, so does the complexity of identifying fraudulent activities amidst legitimate ones. Traditional methods struggle to keep pace, often missing subtle patterns or generating false positives, leading to inefficiencies and increased risks.
Furthermore, the sheer volume of data requires robust systems capable of processing and analyzing information in real-time. Without advanced technology, financial institutions may find it difficult to effectively monitor transactions, leaving them vulnerable to sophisticated fraud schemes that can slip through the cracks.
For instances,
In June 2024, according to an article published by the NVIDIA Corporation, American Express accelerated fraud detection using AI-powered long short-term memory (LSTM) models. By leveraging parallel computing on GPUs, the company rapidly processed and analyzed vast amounts of transactional data, enabling real-time fraud detection. This approach helped American Express handle the complexities arising from their high transaction volume. The integration of accelerated computing and AI enhanced their ability to detect anomalies swiftly, improving operational efficiency and reducing potential losses due to fraud.
- High Initial Investment and Ongoing Maintenance Costs
High initial investment and ongoing maintenance costs present significant constraints for implementing advanced fraud detection systems. These financial burdens can deter smaller institutions from adopting cutting-edge technologies, potentially leaving them vulnerable to fraud. The substantial expenses associated with both the setup and continuous upkeep of such systems may strain budgets and complicate the decision-making process for institutions considering enhanced transaction monitoring solutions.
For Instances,
Several companies show significant initial investments and ongoing maintenance costs. GLAnalytics demands an annual fee of USD 8,000, while CertifID starts at USD 150 per month plus USD 10 per transaction. credolab’s modules range from USD 600 to USD 1,000 per month. These high expenses may deter organizations from adopting or sustaining these services.
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Fraud Detection Transaction Monitoring Market Scope
Asia Pacific fraud detection transaction monitoring market is segmented into six notable segments based on the offering, function, deployment mode, organization size, application, and vertical. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Offering
- Solution
- Services
- Professional Service
- Support & Maintenance
- Integration Services
- Consulting Services
- Training & Education
- Managed Service
- Professional Service
Function
- KYC/Customer Onboarding
- Case Management
- Watch List Screening
- Dashboard & Reporting
- Others
Deployment Mode
- On-Premise
- Cloud
Organization Size
- Small & Medium Sized Organization
- Cloud
- On-Premise
- Large Size Organizations
- Cloud
- On-Premise
Application
- Payment Fraud Detection
- Money Laundering Detection
- Account Takeover Protection
- Identity Theft Prevention
- Others
Vertical
- Banking, Financial Services, and Insurance (BFSI)
- Solution
- Services
- Retail
- Solution
- Services
- IT & Telecommunication
- Solution
- Services
- Government & Defense
- Solution
- Services
- Healthcare
- Solution
- Services
- Manufacturing
- Solution
- Services
- Energy & Utilities
- Solution
- Services
- Others
- Solution
- Services
Fraud Detection Transaction Monitoring Market Regional Analysis
The market is analyzed and market size insights and trends are provided by offering, function, deployment mode, organization size, application, and vertical as referenced above.
The countries covered in the market are China, Japan, India, South Korea, Australia, New Zealand, Indonesia, Thailand, Malaysia, Singapore, Philippines, Taiwan, Vietnam, and Rest of Asia-Pacific
China dominates the Asia Pacific fraud detection transaction monitoring market due to rising need for robust detection systems that can adapt to new threats.
The country section of the report also provides individual market-impacting factors and changes in regulation in the market domestically that impact the current and future trends of the market. Data points such as new sales, replacement sales, country demographics, regulatory acts, and import-export tariffs are some of the major pointers used to forecast the market scenario for individual countries. Also, the presence and availability of Asia Pacific brands and their challenges faced due to large or scarce competition from local and domestic brands, and the impact of sales channels are considered while providing forecast analysis of the country data.
Fraud Detection Transaction Monitoring Market Share
The Asia-Pacific fraud detection transaction monitoring market competitive landscape provides details of competitors. Details included are company overview, company financials, revenue generated, market potential, investment in R&D, new market initiatives, production sites and facilities, company strengths and weaknesses, product launch, product approvals, product width and breadth, application dominance, and product type lifeline curve. The above data points provided are only related to the company’s focus on the market.
Fraud Detection Transaction Monitoring Market Leaders Operating in the Market are:
- Amazon Web Services, Inc. (U.S.)
- LexisNexis (Subsidiary of Reed Elsevier) (U.S.)
- Mastercard (U.S.)
- TATA Consultancy Services Limited (India)
- Fiserv, Inc. (U.S.)
- SAS Institute Inc. (U.S.)
- ACI Worldwide (U.S.)
- Oracle (U.S.)
- NICE (Israel)
- FICO (U.S.)
- SymphonyAI (U.S.)
- UBIQUITY (U.S)
- Verafin Solutions ULC (Subsidiary of Nasdaq Inc.) (Canada)
- GB Group plc (‘GBG’) (U.K.)
- Quantexa (U.K.)
- Sum and Substance Ltd (U.K.)
- Hawk (Germany)
- Featurespace Limited (England)
- INETCO Systems Ltd. (Canada)
- Seon Technologies Ltd. (Hungary)
- Feedzai (Portugal)
Latest Developments in Fraud Detection Transaction Monitoring Market
- In June 2024, according to an article published by the NVIDIA Corporation, American Express accelerated fraud detection using AI-powered long short-term memory (LSTM) models. By leveraging parallel computing on GPUs, the company rapidly processed and analyzed vast amounts of transactional data, enabling real-time fraud detection. This approach helped American Express handle the complexities arising from their high transaction volume. The integration of accelerated computing and AI enhanced their ability to detect anomalies swiftly, improving operational efficiency and reducing potential losses due to fraud
- En juillet 2023, selon le blog publié par BluEnt, les entreprises ont été confrontées à des défis accrus en matière de détection des fraudes en raison du volume élevé de transactions. Des technologies avancées et des systèmes automatisés ont été adoptés pour analyser de grands ensembles de données et repérer les tendances et anomalies à haut risque. Malgré les difficultés de gestion des données non structurées où se produisent la plupart des fraudes, l'analyse des données sur la criminalité financière a permis d'examiner efficacement les données structurées et non structurées. Cette approche a permis de prévenir les activités frauduleuses et d'intégrer diverses sources de données pour une meilleure détection
- En juin 2024, ACI Worldwide et RS2 ont lancé une solution de paiement complète au Brésil, combinant leurs technologies d'acquisition et d'émission. Cette plateforme basée sur le cloud a permis aux institutions financières et aux prestataires de services de paiement d'introduire efficacement de nouveaux produits et services, améliorant ainsi la sécurité et réduisant les coûts. L'intégration d'une gestion avancée de la fraude et d'analyses en temps réel a profité aux entreprises en élargissant leur portée sur le marché et en augmentant leurs opportunités de revenus
- En octobre 2023, ACI Worldwide s'est associée à Nymcard pour améliorer ses capacités de lutte contre la fraude et le blanchiment d'argent. Ce partenariat a permis à Nymcard de détecter et de prévenir rapidement et efficacement la fraude financière en utilisant un apprentissage automatique et des analyses avancées. Le déploiement via le cloud public d'ACI a amélioré l'évolutivité, la sécurité et l'efficacité opérationnelle, renforçant considérablement la position de Nymcard sur le marché de la région MENA
- En juin 2024, DataVisor, Inc. a amélioré ses capacités de multi-location pour fournir des solutions de prévention de la fraude et de lutte contre le blanchiment d'argent évolutives, sécurisées et flexibles. La mise à niveau a permis aux organisations de personnaliser les stratégies de lutte contre la fraude et le blanchiment d'argent et de les déployer sur des sous-locataires avec des fonctionnalités telles que des modèles d'apprentissage automatique et des règles métier. Ces améliorations ont aidé les banques sponsors à se conformer et ont permis aux grandes institutions financières de centraliser les données tout en offrant une prise de décision en sous-location. Ce développement a profité à DataVisor en renforçant sa position sur le marché et en augmentant l'adoption de ses solutions parmi les institutions bancaires et financières, augmentant ainsi la satisfaction et la fidélisation des clients
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Table des matières
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET
1.4 CURRENCY AND PRICING
1.5 LIMITATIONS
1.6 MARKETS COVERED
2 MARKET SEGMENTATION
2.1 MARKETS COVERED
2.2 GEOGRAPHICAL SCOPE
2.3 YEARS CONSIDERED FOR THE STUDY
2.4 DBMR TRIPOD DATA VALIDATION MODEL
2.5 PRIMARY INTERVIEWS WITH KEY OPINION LEADERS
2.6 DBMR MARKET POSITION GRID
2.7 VENDOR SHARE ANALYSIS
2.8 MULTIVARIATE MODELING
2.9 OFFERING TIMELINE CURVE
2.1 MARKET APPLICATION COVERAGE GRID
2.11 SECONDARY SOURCES
2.12 ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 PORTER’S FIVE FORCES
4.2 REGULATORY STANDARDS
4.3 TECHNOLOGICAL TRENDS
4.4 CASE STUDY
4.5 PRICING ANALYSIS
4.6 VALUE CHAIN FOR ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET
5 MARKET OVERVIEW
5.1 DRIVERS
5.1.1 RISING NEED FOR ROBUST DETECTION SYSTEMS THAT CAN ADAPT TO NEW THREATS
5.1.2 INCREASED FOCUS ON IDENTITY VERIFICATION AND AUTHENTICATION
5.1.3 GROWING AWARENESS AMONG CONSUMERS ABOUT FRAUD RISKS
5.1.4 INCREASING DEMAND FOR REAL-TIME TRANSACTION MONITORING ACROSS BFSI SECTOR
5.2 RESTRAINTS
5.2.1 HIGH INITIAL INVESTMENT AND ONGOING MAINTENANCE COSTS
5.2.2 ENSURING COMPLIANCE WITH CUSTOMER DATA PRIVACY
5.3 OPPORTUNITIES
5.3.1 UTILIZING AI AND MACHINE LEARNING ALGORITHMS TO ENHANCE ACCURACY
5.3.2 COLLABORATING WITH FINTECH COMPANIES AND TECHNOLOGY PROVIDERS
5.3.3 STREAMLINING FRAUD DETECTION THROUGH AUTOMATION CAN MINIMIZE LABOR COSTS
5.4 CHALLENGES
5.4.1 HIGH VOLUME OF TRANSACTIONS INCREASES DETECTION COMPLEXITY
5.4.2 DIFFICULTY IN ENSURING REGULATORY ALIGNMENT GLOBALLY
6 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING
6.1 OVERVIEW
6.2 SOLUTION
6.3 SERVICES
6.3.1 PROFESSIONAL SERVICES
6.3.1.1 SUPPORT & MAINTENANCE
6.3.1.2 INTEGRATION SERVICES
6.3.1.3 CONSULTING SERVICES
6.3.1.4 TRAINING & EDUCATION
7 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION
7.1 OVERVIEW
7.2 KYC/CUSTOMER ONBOARDING
7.3 CASE MANAGEMENT
7.4 WATCH LIST SCREENING
7.5 DASHBOARD & REPORTING
7.6 OTHERS
8 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE
8.1 OVERVIEW
8.2 CLOUD
8.3 ON-PREMISE
9 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE
9.1 OVERVIEW
9.2 LARGE SIZE ORGANIZATIONS
9.2.1 CLOUD
9.2.2 ON-PREMISE
9.3 SMALL AND MEDIUM SIZED ORGANIZATIONS
9.3.1 CLOUD
9.3.2 ON-PREMISE
10 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION
10.1 OVERVIEW
10.2 PAYMENT FRAUD DETECTION
10.3 MONEY LAUNDERING DETECTION
10.4 ACCOUNT TAKEOVER PROTECTION
10.5 IDENTITY THEFT PREVENTION
10.6 OTHERS
11 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL
11.1 OVERVIEW
11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI)
11.2.1 SOLUTION
11.2.2 SERVICES
11.3 RETAIL
11.3.1 SOLUTION
11.3.2 SERVICES
11.4 IT & TELECOMMUNICATION
11.4.1 SOLUTION
11.4.2 SERVICES
11.5 GOVERNMENT & DEFENSE
11.5.1 SOLUTION
11.5.2 SERVICES
11.6 HEALTHCARE
11.6.1 SOLUTION
11.6.2 SERVICES
11.7 MANUFACTURING
11.7.1 SOLUTION
11.7.2 SERVICES
11.8 ENERGY & UTILITIES
11.8.1 SOLUTION
11.8.2 SERVICES
11.9 OTHERS
11.9.1 SOLUTION
11.9.2 SERVICES
12 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION
12.1 ASIA-PACIFIC
12.1.1 CHINA
12.1.2 JAPAN
12.1.3 INDIA
12.1.4 SOUTH KOREA
12.1.5 AUSTRALIA
12.1.6 NEW ZEALAND
12.1.7 INDONESIA
12.1.8 THAILAND
12.1.9 MALAYSIA
12.1.10 SINGAPORE
12.1.11 PHILIPPINES
12.1.12 TAIWAN
12.1.13 VIETNAM
12.1.14 REST OF ASIA PACIFIC
13 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, COMPANY LANDSCAPE
13.1 COMPANY SHARE ANALYSIS: ASIA-PACIFIC
14 SWOT ANALYSIS
15 COMPANY PROFILE
15.1 AMAZON WEB SERVICES, INC.
15.1.1 COMPANY SNAPSHOT
15.1.2 REVENUE ANALYSIS
15.1.3 COMPANY SHARE ANALYSIS
15.1.4 SERVICE PORTFOLIO
15.1.5 RECENT DEVELOPMENTS
15.2 LEXISNEXIS (SUBSIDIARY OF REED ELSEVIER)
15.2.1 COMPANY SNAPSHOT
15.2.2 COMPANY SHARE ANALYSIS
15.2.3 SOLUTION PORTFOLIO
15.2.4 RECENT DEVELOPMENTS
15.3 MASTERCARD
15.3.1 COMPANY SNAPSHOT
15.3.2 REVENUE ANALYSIS
15.3.3 COMPANY SHARE ANALYSIS
15.3.4 SOLUTION PORTFOLIO
15.3.5 RECENT DEVELOPMENTS
15.4 TATA CONSULTANCY SERVICES LIMITED
15.4.1 COMPANY SNAPSHOT
15.4.2 REVENUE ANALYSIS
15.4.3 COMPANY SHARE ANALYSIS
15.4.4 SOLUTION PORTFOLIO
15.4.5 RECENT DEVELOPMENTS
15.5 FISERV, INC.
15.5.1 COMPANY SNAPSHOT
15.5.2 REVENUE ANALYSIS
15.5.3 COMPANY SHARE ANALYSIS
15.5.4 SOLUTION PORTFOLIO
15.5.5 RECENT DEVELOPMENTS
15.6 ABRA INNOVATIONS, INC
15.6.1 COMPANY SNAPSHOT
15.6.2 PRODUCT PORTFOLIO
15.6.3 RECENT DEVELOPMENTS
15.7 ACI WORLDWIDE
15.7.1 COMPANY SNAPSHOT
15.7.2 REVENUE ANALYSIS
15.7.3 SOLUTION PORTFOLIO
15.7.4 RECENT DEVELOPMENTS
15.8 DATAVISOR, INC.
15.8.1 COMPANY SNAPSHOT
15.8.2 SOLUTION PORTFOLIO
15.8.3 RECENT DEVELOPMENTS
15.9 FEATURESPACE LIMITED
15.9.1 COMPANY SNAPSHOT
15.9.2 SOLUTION PORTFOLIO
15.9.3 RECENT DEVELOPMENTS
15.1 FEEDZAI
15.10.1 COMPANY SNAPSHOT
15.10.2 SOLUTION PORTFOLIO
15.10.3 RECENT DEVELOPMENTS
15.11 FICO
15.11.1 COMPANY SNAPSHOT
15.11.2 REVENUE ANALYSIS
15.11.3 SOLUTION PORTFOLIO
15.11.4 RECENT DEVELOPMENT
15.12 GB GROUP PLC (‘GBG’)
15.12.1 COMPANY SNAPSHOT
15.12.2 REVENUE ANALYSIS
15.12.3 PRODUCT PORTFOLIO
15.12.4 RECENT DEVELOPMENTS
15.13 HAWK
15.13.1 COMPANY SNAPSHOT
15.13.2 PRODUCT PORTFOLIO
15.13.3 RECENT DEVELOPMENTS
15.14 INETCO SYSTEMS LTD.
15.14.1 COMPANY SNAPSHOT
15.14.2 PRODUCT PORTFOLIO
15.14.3 RECENT DEVELOPMENTS
15.15 INFORM SOFTWARE
15.15.1 COMPANY SNAPSHOT
15.15.2 SOLUTION PORTFOLIO
15.15.3 RECENT DEVELOPMENTS
15.16 NICE
15.16.1 COMPANY SNAPSHOT
15.16.2 SOLUTION PORTFOLIO
15.16.3 RECENT DEVELOPMENTS
15.17 ORACLE
15.17.1 COMPANY SNAPSHOT
15.17.2 REVENUE ANALYSIS
15.17.3 SERVICE CATEGORY
15.17.4 RECENT DEVELOPMENTS
15.18 QUANTEXA
15.18.1 COMPANY SNAPSHOT
15.18.2 SOLUTION PORTFOLIO
15.18.3 RECENT DEVELOPMENTS
15.19 SANCTION SCANNER
15.19.1 COMPANY SNAPSHOT
15.19.2 PRODUCT PORTFOLIO
15.19.3 RECENT DEVELOPMENTS
15.2 SAS INSTITUTE INC
15.20.1 COMPANY SNAPSHOT
15.20.2 SOLUTION PORTFOLIO
15.20.3 RECENT DEVELOPMENT
15.21 SEON TECHNOLOGIES LTD.
15.21.1 COMPANY SNAPSHOT
15.21.2 PRODUCT PORTFOLIO
15.21.3 RECENT DEVELOPMENTS
15.22 SUM AND SUBSTANCE LTD (UK)
15.22.1 COMPANY SNAPSHOT
15.22.2 SOLUTION PORTFOLIO
15.22.3 RECENT DEVELOPMENTS
15.23 SYMPHONYAI
15.23.1 COMPANY SNAPSHOT
15.23.2 SOLUTION PORTFOLIO
15.23.3 RECENT DEVELOPMENTS
15.24 UBIQUITY
15.24.1 COMPANY SNAPSHOT
15.24.2 REVENUE ANALYSIS
15.24.3 SOLUTION PORTFOLIO
15.24.4 RECENT DEVELOPMENT
15.25 VERAFIN SOLUTIONS ULC (SUBSIDIARY OF NASDAQ INC.)
15.25.1 COMPANY SNAPSHOT
15.25.2 SOLUTION PORTFOLIO
15.25.3 RECENT DEVELOPMENTS
16 QUESTIONNAIRE
17 RELATED REPORTS
Liste des tableaux
TABLE 1 KEY PLAYERS OF FIUS AROUND THE GLOBE
TABLE 2 PRICING ANALYSIS FOR ENTERPRISES
TABLE 3 PRICING ANALYSIS (MEMCYCO AND OTHER COMPANIES)
TABLE 4 PRICING ANALYSIS (SEON AND ONDATO)
TABLE 5 U.S. STATE WISE ONLINE BANKING FRAUD
TABLE 6 FRAUD DETECTION AND VERIFICATION PRICE OFFERED BY PER COMPANY
TABLE 7 CONSUMER DATA PROTECTION ACT WORLD WIDE
TABLE 8 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 9 ASIA-PACIFIC SOLUTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 10 ASIA-PACIFIC SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 11 ASIA-PACIFIC SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 12 ASIA-PACIFIC PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 13 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 14 ASIA-PACIFIC KYC/CUSTOMER ONBOARDING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 15 ASIA-PACIFIC CASE MANAGEMENT IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 16 ASIA-PACIFIC WATCH LIST SCREENING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 17 ASIA-PACIFIC DASHBOARD & REPORTING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 18 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 19 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 20 ASIA-PACIFIC CLOUD IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 21 ASIA-PACIFIC ON-PREMISE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 22 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 23 ASIA-PACIFIC LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 24 ASIA-PACIFIC LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 25 ASIA-PACIFIC SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 26 ASIA-PACIFIC SMALL & MEDIUM SIZED ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 27 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 28 ASIA-PACIFIC PAYMENT FRAUD DETECTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 29 ASIA-PACIFIC MONEY LAUNDERING DETECTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 30 ASIA-PACIFIC ACCOUNT TAKEOVER PROTECTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 31 ASIA-PACIFIC IDENTITY THEFT PREVENTION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 32 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 33 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 34 ASIA-PACIFIC BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 35 ASIA-PACIFIC BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 36 ASIA-PACIFIC RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 37 ASIA-PACIFIC RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 38 ASIA-PACIFIC IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 39 ASIA-PACIFIC IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 40 ASIA-PACIFIC GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 41 ASIA-PACIFIC GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 42 ASIA-PACIFIC HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 43 ASIA-PACIFIC HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 44 ASIA-PACIFIC MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 45 ASIA-PACIFIC MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 46 ASIA-PACIFIC ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 47 ASIA-PACIFIC ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 48 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 49 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY REGION, 2022-2031 (USD THOUSAND)
TABLE 50 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY COUNTRY, 2022-2031 (USD THOUSAND)
TABLE 51 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 52 ASIA-PACIFIC SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 53 ASIA-PACIFIC PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 54 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 55 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 56 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 57 ASIA-PACIFIC LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 58 ASIA-PACIFIC SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 59 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 60 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 61 ASIA-PACIFIC BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 62 ASIA-PACIFIC RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 63 ASIA-PACIFIC IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 64 ASIA-PACIFIC GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 65 ASIA-PACIFIC HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 66 ASIA-PACIFIC MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 67 ASIA-PACIFIC ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 68 ASIA-PACIFIC OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 69 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 70 CHINA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 71 CHINA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 72 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 73 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 74 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 75 CHINA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 76 CHINA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 77 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 78 CHINA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 79 CHINA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 80 CHINA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 81 CHINA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 82 CHINA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 83 CHINA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 84 CHINA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 85 CHINA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 86 CHINA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 87 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 88 JAPAN SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 89 JAPAN PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 90 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 91 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 92 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 93 JAPAN LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 94 JAPAN SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 95 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 96 JAPAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 97 JAPAN BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 98 JAPAN RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 99 JAPAN IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 100 JAPAN GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 101 JAPAN HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 102 JAPAN MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 103 JAPAN ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 104 JAPAN OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 105 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 106 INDIA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 107 INDIA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 108 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 109 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 110 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 111 INDIA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 112 INDIA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 113 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 114 INDIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 115 INDIA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 116 INDIA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 117 INDIA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 118 INDIA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 119 INDIA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 120 INDIA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 121 INDIA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 122 INDIA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 123 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 124 SOUTH KOREA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 125 SOUTH KOREA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 126 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 127 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 128 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 129 SOUTH KOREA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 130 SOUTH KOREA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 131 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 132 SOUTH KOREA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 133 SOUTH KOREA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 134 SOUTH KOREA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 135 SOUTH KOREA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 136 SOUTH KOREA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 137 SOUTH KOREA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 138 SOUTH KOREA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 139 SOUTH KOREA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 140 SOUTH KOREA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 141 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 142 AUSTRALIA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 143 AUSTRALIA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 144 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 145 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 146 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 147 AUSTRALIA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 148 AUSTRALIA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 149 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 150 AUSTRALIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 151 AUSTRALIA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 152 AUSTRALIA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 153 AUSTRALIA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 154 AUSTRALIA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 155 AUSTRALIA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 156 AUSTRALIA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 157 AUSTRALIA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 158 AUSTRALIA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 159 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 160 NEW ZEALAND SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 161 NEW ZEALAND PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 162 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 163 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 164 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 165 NEW ZEALAND LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 166 NEW ZEALAND SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 167 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 168 NEW ZEALAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 169 NEW ZEALAND BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 170 NEW ZEALAND RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 171 NEW ZEALAND IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 172 NEW ZEALAND GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 173 NEW ZEALAND HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 174 NEW ZEALAND MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 175 NEW ZEALAND ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 176 NEW ZEALAND OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 177 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 178 INDONESIA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 179 INDONESIA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 180 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 181 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 182 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 183 INDONESIA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 184 INDONESIA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 185 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 186 INDONESIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 187 INDONESIA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 188 INDONESIA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 189 INDONESIA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 190 INDONESIA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 191 INDONESIA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 192 INDONESIA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 193 INDONESIA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 194 INDONESIA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 195 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 196 THAILAND SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 197 THAILAND PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 198 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 199 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 200 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 201 THAILAND LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 202 THAILAND SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 203 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 204 THAILAND FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 205 THAILAND BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 206 THAILAND RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 207 THAILAND IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 208 THAILAND GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 209 THAILAND HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 210 THAILAND MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 211 THAILAND ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 212 THAILAND OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 213 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 214 MALAYSIA SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 215 MALAYSIA PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 216 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 217 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 218 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 219 MALAYSIA LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 220 MALAYSIA SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 221 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 222 MALAYSIA FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 223 MALAYSIA BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 224 MALAYSIA RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 225 MALAYSIA IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 226 MALAYSIA GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 227 MALAYSIA HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 228 MALAYSIA MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 229 MALAYSIA ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 230 MALAYSIA OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 231 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 232 SINGAPORE SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 233 SINGAPORE PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 234 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 235 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 236 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 237 SINGAPORE LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 238 SINGAPORE SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 239 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 240 SINGAPORE FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 241 SINGAPORE BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 242 SINGAPORE RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 243 SINGAPORE IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 244 SINGAPORE GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 245 SINGAPORE HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 246 SINGAPORE MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 247 SINGAPORE ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 248 SINGAPORE OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 249 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 250 PHILIPPINES SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 251 PHILIPPINES PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 252 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 253 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 254 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 255 PHILIPPINES LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 256 PHILIPPINES SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 257 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 258 PHILIPPINES FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 259 PHILIPPINES BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 260 PHILIPPINES RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 261 PHILIPPINES IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 262 PHILIPPINES GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 263 PHILIPPINES HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 264 PHILIPPINES MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 265 PHILIPPINES ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 266 PHILIPPINES OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 267 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 268 TAIWAN SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 269 TAIWAN PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 270 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 271 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 272 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 273 TAIWAN LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 274 TAIWAN SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 275 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 276 TAIWAN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 277 TAIWAN BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 278 TAIWAN RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 279 TAIWAN IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 280 TAIWAN GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 281 TAIWAN HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 282 TAIWAN MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 283 TAIWAN ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 284 TAIWAN OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 285 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 286 VIETNAM SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031(USD THOUSAND)
TABLE 287 VIETNAM PROFESSIONAL SERVICES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY TYPE, 2022-2031 (USD THOUSAND)
TABLE 288 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY FUNCTION, 2022-2031 (USD THOUSAND)
TABLE 289 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 290 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY ORGANIZATION SIZE, 2022-2031 (USD THOUSAND)
TABLE 291 VIETNAM LARGE SIZE ORGANIZATIONS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 292 VIETNAM SMALL & MEDIUM SIZED ORGANIZATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY DEPLOYMENT MODE, 2022-2031 (USD THOUSAND)
TABLE 293 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY APPLICATION, 2022-2031 (USD THOUSAND)
TABLE 294 VIETNAM FRAUD DETECTION TRANSACTION MONITORING MARKET, BY VERTICAL, 2022-2031 (USD THOUSAND)
TABLE 295 VIETNAM BANKING, FINANCIAL SERVICES, AND INSURANCE (BFSI) IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 296 VIETNAM RETAIL IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 297 VIETNAM IT & TELECOMMUNICATION IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 298 VIETNAM GOVERNMENT & DEFENSE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 299 VIETNAM HEALTHCARE IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 300 VIETNAM MANUFACTURING IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 301 VIETNAM ENERGY & UTILITIES IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 302 VIETNAM OTHERS IN FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
TABLE 303 REST OF ASIA PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING, 2022-2031 (USD THOUSAND)
Liste des figures
FIGURE 1 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: SEGMENTATION
FIGURE 2 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: DATA TRIANGULATION
FIGURE 3 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: DROC ANALYSIS
FIGURE 4 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: ASIA-PACIFIC VS REGIONAL MARKET ANALYSIS
FIGURE 5 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: COMPANY RESEARCH ANALYSIS
FIGURE 6 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: INTERVIEW DEMOGRAPHICS
FIGURE 7 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: DBMR MARKET POSITION GRID
FIGURE 8 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: VENDOR SHARE ANALYSIS
FIGURE 9 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: MULTIVARIATE MODELING
FIGURE 10 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: OFFERING TIMELINE CURVE
FIGURE 11 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: MARKET APPLICATION COVERAGE GRID
FIGURE 12 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: SEGMENTATION
FIGURE 13 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET
FIGURE 14 TWO SEGMENTS COMPRISE THE ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET, BY OFFERING (2023)
FIGURE 15 STRATEGIC DECISIONS
FIGURE 16 RISING NEED FOR ROBUST DETECTION SYSTEMS THAT CAN ADAPT TO NEW THREATS IS EXPECTED TO DRIVE THE ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET DURING THE FORECAST PERIOD OF 2024 TO 2031
FIGURE 17 SOLUTION SEGMENT IS EXPECTED TO ACCOUNT FOR THE LARGEST SHARE OF THE ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET IN 2024 & 2031
FIGURE 18 TYPE OF FINANCIAL INTELLIGENCE UNITS
FIGURE 19 TRADITIONAL SERVICE TRANSACTION VS BLOCKCHAIN BASED SERVICE TRANSACTION
FIGURE 20 VALUE CHAIN FOR FRAUD DETECTION TRANSACTION MONITORING MARKET
FIGURE 21 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES OF ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET
FIGURE 22 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY OFFERING, 2023
FIGURE 23 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY FUNCTION, 2023
FIGURE 24 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY DEPLOYMENT MODE, 2023
FIGURE 25 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY ORGANIZATION SIZE, 2023
FIGURE 26 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY APPLICATION, 2023
FIGURE 27 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: BY VERTICAL, 2023
FIGURE 28 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: SNAPSHOT 2023
FIGURE 29 ASIA-PACIFIC FRAUD DETECTION TRANSACTION MONITORING MARKET: COMPANY SHARE 2023 (%)
Méthodologie de recherche
La collecte de données et l'analyse de l'année de base sont effectuées à l'aide de modules de collecte de données avec des échantillons de grande taille. L'étape consiste à obtenir des informations sur le marché ou des données connexes via diverses sources et stratégies. Elle comprend l'examen et la planification à l'avance de toutes les données acquises dans le passé. Elle englobe également l'examen des incohérences d'informations observées dans différentes sources d'informations. Les données de marché sont analysées et estimées à l'aide de modèles statistiques et cohérents de marché. De plus, l'analyse des parts de marché et l'analyse des tendances clés sont les principaux facteurs de succès du rapport de marché. Pour en savoir plus, veuillez demander un appel d'analyste ou déposer votre demande.
La méthodologie de recherche clé utilisée par l'équipe de recherche DBMR est la triangulation des données qui implique l'exploration de données, l'analyse de l'impact des variables de données sur le marché et la validation primaire (expert du secteur). Les modèles de données incluent la grille de positionnement des fournisseurs, l'analyse de la chronologie du marché, l'aperçu et le guide du marché, la grille de positionnement des entreprises, l'analyse des brevets, l'analyse des prix, l'analyse des parts de marché des entreprises, les normes de mesure, l'analyse globale par rapport à l'analyse régionale et des parts des fournisseurs. Pour en savoir plus sur la méthodologie de recherche, envoyez une demande pour parler à nos experts du secteur.
Personnalisation disponible
Data Bridge Market Research est un leader de la recherche formative avancée. Nous sommes fiers de fournir à nos clients existants et nouveaux des données et des analyses qui correspondent à leurs objectifs. Le rapport peut être personnalisé pour inclure une analyse des tendances des prix des marques cibles, une compréhension du marché pour d'autres pays (demandez la liste des pays), des données sur les résultats des essais cliniques, une revue de la littérature, une analyse du marché des produits remis à neuf et de la base de produits. L'analyse du marché des concurrents cibles peut être analysée à partir d'une analyse basée sur la technologie jusqu'à des stratégies de portefeuille de marché. Nous pouvons ajouter autant de concurrents que vous le souhaitez, dans le format et le style de données que vous recherchez. Notre équipe d'analystes peut également vous fournir des données sous forme de fichiers Excel bruts, de tableaux croisés dynamiques (Fact book) ou peut vous aider à créer des présentations à partir des ensembles de données disponibles dans le rapport.
